Adopting a customer-centric stance for your business is only possible when you have tools that allow a holistic view of your customers. Unfortunately, most enterprise data today is fragmented and siloed in databases, operational data marts, and legacy systems. To create a 360 view, all these inputs need to be aggregated, validated, and consolidated.
Enter 360-degree data integration. Using drag & drop connectors, intuitive transformations, and automation features you can build complete, trusted data for accurate forecasting, reporting, and compliance. With a 360-degree customer view, you will get a better understanding of where your business stands with its customers and plan long-term strategies that allow you to engage them on their terms.
When Salesforce Isn’t Enough: Using Birst to Accelerate Your Business and Und...Birst
Organizations rely on solutions like Salesforce to run day-to-day operations and keep track of the massive amounts of data generated by daily customer interactions. As their business grows and their data analysis requirements evolve, these companies often find they need more robust reporting capabilities than what Salesforce offers out-of-the-box.
Join industry analyst James Haight from Blue Hill Research as he presents his new research paper, “Using Birst to Increase Efficiency and Customer Insight in Salesforce,” and describes how companies are turning to business intelligence solutions like Birst to help decision-makers glean greater insight from Salesforce data and deliver increased value to customers.
In this webinar, you will learn:
How a leading health insurance provider recognized it reached the upper limits of Salesforce reporting
The factors this organization considered when choosing a business intelligence solution
How this company transformed its business operations with greater efficiency and deeper customer insight.
Foundational Strategies for Trusted Data: Getting Your Data to the CloudPrecisely
To trust your reporting, analytics, and ML outcomes, you must have access to all the data required for confident decision-making. In this on-demand session we’ll explore strategies for breaking data out of silos and getting it into the cloud – with an emphasis on integrating data from complex legacy systems.
Master Data Management - Aligning Data, Process and Governance Precisely
Master Data Management (MDM) provides organizations with an accurate and comprehensive view of their business-critical data such as customers, products, vendors, and more. While mastering these key data areas can be a complex task, the value of doing so can be tremendous – from real-time operational integration to data warehousing and analytic reporting. This webinar will provide practical strategies for gaining value from your MDM initiative, while at the same time assuring a solid architectural and governance foundation that will ensure long-term, enterprise-wide success.
Explore how data integration (or “mashups”) can maximize analytic value and help business teams create streamlined data pipelines that enables ad-hoc analytic inquiries. You’ll learn why businesses increasingly focused on blending data on demand and at the source, the concrete analytic advantages that this approach delivers, and the type of architectures required for delivering trusted, blended data. We provide a checklist to assess your data integration needs and capabilities, and review some real-world examples of how blending various data types has created significant analytic value and concrete business impact.
When Salesforce Isn’t Enough: Using Birst to Accelerate Your Business and Und...Birst
Organizations rely on solutions like Salesforce to run day-to-day operations and keep track of the massive amounts of data generated by daily customer interactions. As their business grows and their data analysis requirements evolve, these companies often find they need more robust reporting capabilities than what Salesforce offers out-of-the-box.
Join industry analyst James Haight from Blue Hill Research as he presents his new research paper, “Using Birst to Increase Efficiency and Customer Insight in Salesforce,” and describes how companies are turning to business intelligence solutions like Birst to help decision-makers glean greater insight from Salesforce data and deliver increased value to customers.
In this webinar, you will learn:
How a leading health insurance provider recognized it reached the upper limits of Salesforce reporting
The factors this organization considered when choosing a business intelligence solution
How this company transformed its business operations with greater efficiency and deeper customer insight.
Foundational Strategies for Trusted Data: Getting Your Data to the CloudPrecisely
To trust your reporting, analytics, and ML outcomes, you must have access to all the data required for confident decision-making. In this on-demand session we’ll explore strategies for breaking data out of silos and getting it into the cloud – with an emphasis on integrating data from complex legacy systems.
Master Data Management - Aligning Data, Process and Governance Precisely
Master Data Management (MDM) provides organizations with an accurate and comprehensive view of their business-critical data such as customers, products, vendors, and more. While mastering these key data areas can be a complex task, the value of doing so can be tremendous – from real-time operational integration to data warehousing and analytic reporting. This webinar will provide practical strategies for gaining value from your MDM initiative, while at the same time assuring a solid architectural and governance foundation that will ensure long-term, enterprise-wide success.
Explore how data integration (or “mashups”) can maximize analytic value and help business teams create streamlined data pipelines that enables ad-hoc analytic inquiries. You’ll learn why businesses increasingly focused on blending data on demand and at the source, the concrete analytic advantages that this approach delivers, and the type of architectures required for delivering trusted, blended data. We provide a checklist to assess your data integration needs and capabilities, and review some real-world examples of how blending various data types has created significant analytic value and concrete business impact.
Data Integrity: The Baseline for InnovationPrecisely
Leveraging technology to achieve innovative and disruptive business outcomes is top of mind for IT Executives. Delivering on that is a strategic balancing act of solving complex data issues that impact overall data integrity, while empowering teams to achieve those goals. Precisely, the global leader in data integrity shares the value of enabling your teams with the ability to access, understand, trust, and add context to data through our data integrity portfolio. With unmatched data expertise, Precisely builds partnerships to manage your technology needs with a unique combination of flexible and modular software, data enrichment, and strategic services.
Emagia Master Class 3 | Integrated Order-to-Cash (OTC) Transformation for Glo...emagia
Integrated Order-to-Cash (OTC) Transformation for Global Shared Service Organizations. Emagia Master Class 3. Automated consolidated receivables – in total and by customer from multiple ERP’s
https://www.emagia.com/master-class/
Is your quality monitoring tech stack secure?Etech
Stay ahead of compliance violations with QEval. With real-time quality monitoring, we ensure near-instant alerts for critical processes and custom alerts. Additionally, automatically track compliance performance and reduce the possibility of risk.
Samsung’s First 90-Days Building a Next-Generation Analytics PlatformCloudera, Inc.
Leveraging in-memory processing for advanced analytics paired with rich data visualization for business intelligence, Samsung is creating a flexible and scalable next-generation analytics platform built on Cloudera Enterprise.
Big Data LDN 2018: CONNECTING SILOS IN REAL-TIME WITH DATA VIRTUALIZATIONMatt Stubbs
Date: 14th November 2018
Location: Keynote Theatre
Time: 13:50 - 14:20
Speaker: Becky Smith
Organisation: Denodo
About: How many users inside and outside of your organization access your organization’s data? Dozens? Hundreds is probably more like it, each with their own structure and content requirements as well as different access rights. As a result, many organizations have witnessed the formation of “data delivery mills,” in various shapes and sizes. How does one create order and reliability in this world of chaotic data streams? Quite easily, if it’s done with data virtualization.
According to Gartner, "through 2020, 50% of enterprises will implement some form of data virtualization as one enterprise production option for data integration.” Data virtualization enables organizations to gain data insights from multiple, distributed data sources without the time-consuming processes of data extraction and loading. This allows for faster insights and fact-based decisions, which help business realize value sooner.
Join us to find out more about:
• What data virtualization actually means and how it differs from traditional data integration approaches.
• How you can connect and combine all your data in real-time, without compromising on scalability, security or governance.
• The benefits of data virtualization and its most important use cases.
This on-demand webinar presents real-world customer examples that illustrate the 4 key steps to close the gap between raw data, meaningful insights and real-time action, including:
Collect and reconcile customer data about identities, profiles, purchase history, preferences, and transactions
Transform and augment this data into a 360° view of the customer with context, intentions, relationships, and interactions
Turn data into insights, with segments, scores, forecasts and recommendations
Connect in real time to the customer touch-points and turn those insights into increased conversion rates and customer loyalty
Harnessing the Power of Advanced Insurance Analytics Through Property DataPrecisely
In commercial and residential underwriting, accurate and robust property data is essential to effectively doing business and performing analytics.
Increasing availability of location-based data and the growing capabilities of AI/ML provide an optimal opportunity for companies to capitalize on location-based data science for a competitive edge. A Willis Towers Watson survey showed that 60% of companies are targeting AI/ML capabilities in 2021 to address IT and organizational bottlenecks, such as data infrastructure, to better analyze data when evaluating risk models and reducing manual input.
However, across the board, companies are challenged with finding an effective strategy for organizing, consistently enriching, and analyzing data across the enterprise. Precisely gives your business the confidence to make better, faster decisions through trusted data with maximum accuracy, consistency, and context.
Learn how clients are leveraging advanced analytics and property enrichment solutions to:
- Improve loss ratio through more diversified risk and profitable underwriting
- Improve the reliability of property evaluation using location data enrichment for every US property
- Enrich properties with thousands of attributes for better, more accurate analytical models, such as AI and ML technologies
- Enable real-time answers to complex analytics leveraging big data analytics platforms such as Databricks or cloud container systems such as Kubernetes
Enterprises should never lose sight of the end game of Big Data:
improving business decisions based on actionable, data-driven
intelligence. Today’s analytics platforms, low-cost storage and powerful
in-memory computing solutions now place a powerful set of tools at the
disposal of hands-on IT professionals.
The Connected Consumer – Real-time Customer 360Capgemini
With Business Data Lake technologies based on EMC’s Big Data portfolio it becomes possible to move away from channel specific analytics towards a 360 customer view.
This presentation will show how technologies like Spark, Hadoop, and Kafka help companies gain a real-time view of everything their customers do and make changes to customer touch points whether mobile, web, in-store, direct marketing or existing transactional systems.
Presented by Steve Jones, Vice President, Insights & Data, Capgemini at EMC World 2016
http://www.capgemini.com/emc
Accelerating Data-Driven Enterprise Transformation in Banking, Financial Serv...Denodo
Watch full webinar here: https://bit.ly/3c6v8K7
Banking, Financial Services and Insurance (BFSI) organizations are globally accelerating their digital journey, making rapid strides with their digitization efforts, and adding key capabilities to adapt and innovate in the new normal.
Many companies find digital transformation challenging as they rely on established systems that are often not only poorly integrated but also highly resistant to modernization without downtime. Hear how the BFSI industry is leveraging data virtualization that facilitates digital transformation via a modern data integration/data delivery approach to gain greater agility, flexibility, and efficiency.
In this session from Denodo, you will learn:
- Industry key trends and challenges driving the digital transformation mandate and platform modernization initiatives
- Key concepts of Data Virtualization, and how it can enable BFSI customers to develop critical capabilities for real-time / near real-time data integration
- Success Stories on organizations who already use data virtualization to differentiate themselves from the competition.
Harness the Power of the Cloud to Drive Business InnovationPerficient, Inc.
Innovation in the cloud transcends information technology. It is woven into the very fabric of customer experience strategies and can be directly applied to how we think about business innovation as an enterprise.
Our Cloud First webinar provided a pragmatic approach to using design thinking to harness the power of cloud for business innovation. We walked through a framework for innovation and demonstrated how to build the right team, apply the right methods, and leverage the right tools to:
-Quickly create value for customers
-Bring people and ideas together
-Foster innovation through continuous delivery
-Release your ideas into the wild
Birst 5X: Turn Information Consumers into Information Producers – Connected o...Birst
Join us as we introduce Birst 5X and welcome our featured speaker, Mike Bozek, VP of Business Line Management for Cancer Care Solutions at Elekta who will describe how this innovative human care company uses business intelligence to make a difference in people’s lives.
Traditional BI and analytics solutions offer fragmented experiences for dashboards, discovery and mobile that target distinct audiences: dashboards for information “consumers” and discovery for information “producers”. This approach locks people into rigid user roles that don’t reflect how the modern business person works with data.
Birst 5X delivers an Adaptive User Experience designed to support how people interact with data, enabling them to seamlessly transition between dashboards, discovery and mobile, connected or disconnected, and turning every information consumer into an information producer. In this webinar, you will:
Find out how Birst 5X breaks down the wall between dashboards and visual discovery
Learn how its enhanced mobile experience supports disconnected analysis to deliver insights anywhere
Understand why interoperability is essential to adapt to heterogeneous analytics environments
Learn how Elekta helps healthcare providers make more informed decisions around the quality of care and business practices
Analytics in the Cloud and the ROI for B2BVeronica Kirn
Veronica Kirn Global Market Manager presents the shift in Analytics with Jeannine Calandra providing in depth product specifics for B2B Services Reporting & Analytics. This was presented at the InterConnect event in Las Vegas, NV for Technology professionals interesting in addressing their Business to Business (B2B) need for turning data into insight.
Data Integrity: The Baseline for InnovationPrecisely
Leveraging technology to achieve innovative and disruptive business outcomes is top of mind for IT Executives. Delivering on that is a strategic balancing act of solving complex data issues that impact overall data integrity, while empowering teams to achieve those goals. Precisely, the global leader in data integrity shares the value of enabling your teams with the ability to access, understand, trust, and add context to data through our data integrity portfolio. With unmatched data expertise, Precisely builds partnerships to manage your technology needs with a unique combination of flexible and modular software, data enrichment, and strategic services.
Emagia Master Class 3 | Integrated Order-to-Cash (OTC) Transformation for Glo...emagia
Integrated Order-to-Cash (OTC) Transformation for Global Shared Service Organizations. Emagia Master Class 3. Automated consolidated receivables – in total and by customer from multiple ERP’s
https://www.emagia.com/master-class/
Is your quality monitoring tech stack secure?Etech
Stay ahead of compliance violations with QEval. With real-time quality monitoring, we ensure near-instant alerts for critical processes and custom alerts. Additionally, automatically track compliance performance and reduce the possibility of risk.
Samsung’s First 90-Days Building a Next-Generation Analytics PlatformCloudera, Inc.
Leveraging in-memory processing for advanced analytics paired with rich data visualization for business intelligence, Samsung is creating a flexible and scalable next-generation analytics platform built on Cloudera Enterprise.
Big Data LDN 2018: CONNECTING SILOS IN REAL-TIME WITH DATA VIRTUALIZATIONMatt Stubbs
Date: 14th November 2018
Location: Keynote Theatre
Time: 13:50 - 14:20
Speaker: Becky Smith
Organisation: Denodo
About: How many users inside and outside of your organization access your organization’s data? Dozens? Hundreds is probably more like it, each with their own structure and content requirements as well as different access rights. As a result, many organizations have witnessed the formation of “data delivery mills,” in various shapes and sizes. How does one create order and reliability in this world of chaotic data streams? Quite easily, if it’s done with data virtualization.
According to Gartner, "through 2020, 50% of enterprises will implement some form of data virtualization as one enterprise production option for data integration.” Data virtualization enables organizations to gain data insights from multiple, distributed data sources without the time-consuming processes of data extraction and loading. This allows for faster insights and fact-based decisions, which help business realize value sooner.
Join us to find out more about:
• What data virtualization actually means and how it differs from traditional data integration approaches.
• How you can connect and combine all your data in real-time, without compromising on scalability, security or governance.
• The benefits of data virtualization and its most important use cases.
This on-demand webinar presents real-world customer examples that illustrate the 4 key steps to close the gap between raw data, meaningful insights and real-time action, including:
Collect and reconcile customer data about identities, profiles, purchase history, preferences, and transactions
Transform and augment this data into a 360° view of the customer with context, intentions, relationships, and interactions
Turn data into insights, with segments, scores, forecasts and recommendations
Connect in real time to the customer touch-points and turn those insights into increased conversion rates and customer loyalty
Harnessing the Power of Advanced Insurance Analytics Through Property DataPrecisely
In commercial and residential underwriting, accurate and robust property data is essential to effectively doing business and performing analytics.
Increasing availability of location-based data and the growing capabilities of AI/ML provide an optimal opportunity for companies to capitalize on location-based data science for a competitive edge. A Willis Towers Watson survey showed that 60% of companies are targeting AI/ML capabilities in 2021 to address IT and organizational bottlenecks, such as data infrastructure, to better analyze data when evaluating risk models and reducing manual input.
However, across the board, companies are challenged with finding an effective strategy for organizing, consistently enriching, and analyzing data across the enterprise. Precisely gives your business the confidence to make better, faster decisions through trusted data with maximum accuracy, consistency, and context.
Learn how clients are leveraging advanced analytics and property enrichment solutions to:
- Improve loss ratio through more diversified risk and profitable underwriting
- Improve the reliability of property evaluation using location data enrichment for every US property
- Enrich properties with thousands of attributes for better, more accurate analytical models, such as AI and ML technologies
- Enable real-time answers to complex analytics leveraging big data analytics platforms such as Databricks or cloud container systems such as Kubernetes
Enterprises should never lose sight of the end game of Big Data:
improving business decisions based on actionable, data-driven
intelligence. Today’s analytics platforms, low-cost storage and powerful
in-memory computing solutions now place a powerful set of tools at the
disposal of hands-on IT professionals.
The Connected Consumer – Real-time Customer 360Capgemini
With Business Data Lake technologies based on EMC’s Big Data portfolio it becomes possible to move away from channel specific analytics towards a 360 customer view.
This presentation will show how technologies like Spark, Hadoop, and Kafka help companies gain a real-time view of everything their customers do and make changes to customer touch points whether mobile, web, in-store, direct marketing or existing transactional systems.
Presented by Steve Jones, Vice President, Insights & Data, Capgemini at EMC World 2016
http://www.capgemini.com/emc
Accelerating Data-Driven Enterprise Transformation in Banking, Financial Serv...Denodo
Watch full webinar here: https://bit.ly/3c6v8K7
Banking, Financial Services and Insurance (BFSI) organizations are globally accelerating their digital journey, making rapid strides with their digitization efforts, and adding key capabilities to adapt and innovate in the new normal.
Many companies find digital transformation challenging as they rely on established systems that are often not only poorly integrated but also highly resistant to modernization without downtime. Hear how the BFSI industry is leveraging data virtualization that facilitates digital transformation via a modern data integration/data delivery approach to gain greater agility, flexibility, and efficiency.
In this session from Denodo, you will learn:
- Industry key trends and challenges driving the digital transformation mandate and platform modernization initiatives
- Key concepts of Data Virtualization, and how it can enable BFSI customers to develop critical capabilities for real-time / near real-time data integration
- Success Stories on organizations who already use data virtualization to differentiate themselves from the competition.
Harness the Power of the Cloud to Drive Business InnovationPerficient, Inc.
Innovation in the cloud transcends information technology. It is woven into the very fabric of customer experience strategies and can be directly applied to how we think about business innovation as an enterprise.
Our Cloud First webinar provided a pragmatic approach to using design thinking to harness the power of cloud for business innovation. We walked through a framework for innovation and demonstrated how to build the right team, apply the right methods, and leverage the right tools to:
-Quickly create value for customers
-Bring people and ideas together
-Foster innovation through continuous delivery
-Release your ideas into the wild
Birst 5X: Turn Information Consumers into Information Producers – Connected o...Birst
Join us as we introduce Birst 5X and welcome our featured speaker, Mike Bozek, VP of Business Line Management for Cancer Care Solutions at Elekta who will describe how this innovative human care company uses business intelligence to make a difference in people’s lives.
Traditional BI and analytics solutions offer fragmented experiences for dashboards, discovery and mobile that target distinct audiences: dashboards for information “consumers” and discovery for information “producers”. This approach locks people into rigid user roles that don’t reflect how the modern business person works with data.
Birst 5X delivers an Adaptive User Experience designed to support how people interact with data, enabling them to seamlessly transition between dashboards, discovery and mobile, connected or disconnected, and turning every information consumer into an information producer. In this webinar, you will:
Find out how Birst 5X breaks down the wall between dashboards and visual discovery
Learn how its enhanced mobile experience supports disconnected analysis to deliver insights anywhere
Understand why interoperability is essential to adapt to heterogeneous analytics environments
Learn how Elekta helps healthcare providers make more informed decisions around the quality of care and business practices
Analytics in the Cloud and the ROI for B2BVeronica Kirn
Veronica Kirn Global Market Manager presents the shift in Analytics with Jeannine Calandra providing in depth product specifics for B2B Services Reporting & Analytics. This was presented at the InterConnect event in Las Vegas, NV for Technology professionals interesting in addressing their Business to Business (B2B) need for turning data into insight.
Looking to the Future: Embracing the Cloud for a More Modern Data Quality App...Precisely
Data quality: it’s what we all strive for, and yet we don’t always have what we need to achieve it.
Embracing the cloud with a more holistic, yet simplified user experience will help you find exponential value in your data today – and plan for tomorrow. Join us to learn about a more modern approach that will empower your teams to more deeply understand, trust, and pro-actively address anomalies in your critical data.
Learn more about the value of next-generation cloud solutions that will power your organization into the future by joining us on September 22 where you will hear from Precisely’s Emily Washington, SVP of Product Management, Chuck Kane, VP of Product Management, and David Woods, SVP of Strategic Services. Be sure to bring your questions for our team of experts to the live Q&A session following their presentations and demos.
Data analytics tools help organizations derive insights from vast amounts of data, enabling informed decision-making, identifying trends and patterns, personalizing customer experiences, optimizing processes, and driving innovation and competitive advantage.
Explore how data integration (or “mashups”) can maximize analytic value and help business teams create streamlined data pipelines that enables ad-hoc analytic inquiries. You’ll learn why businesses increasingly focused on blending data on demand and at the source, the concrete analytic advantages that this approach delivers, and the type of architectures required for delivering trusted, blended data. We provide a checklist to assess your data integration needs and capabilities, and review some real-world examples of how blending various data types has created significant analytic value and concrete business impact.
Foundational Strategies for Trust in Big Data Part 1: Getting Data to the Pla...Precisely
Teams working on new business initiatives, whether for enhancing customer engagement, creating new value, or addressing compliance considerations, know that a successful strategy starts with the synchronization of operational and reporting data from across the organization into a centralized repository for use in advanced analytics and other projects. However, the range and complexity of data sources as well as the lack of specialized skills needed to extract data from critical legacy systems often causes inefficiencies and gaps in the data being used by the business.
The first part of our webcast series on Foundation Strategies for Trust in Big Data provides insight into how Syncsort Connect with its design once, deploy anywhere approach supports a repeatable pattern for data integration by enabling enterprise architects and developers to ensure data from ALL enterprise data sources– from mainframe to cloud – is available in the downstream data lakes for use in these key business initiatives.
The year 2016, will see many organizations and enterprises rapidly moving towards adoption of the digitalization and digital business.
This presentation highlights what would be the top 10 trends and directions that enterprises will increasingly adopt to ensure superior customer experiences, competitive advantage and/or IT optimization for improved services and cost takeout.
BIG Data & Hadoop Applications in FinanceSkillspeed
Explore the applications of BIG Data & Hadoop in Finance via Skillspeed.
BIG Data & Hadoop in Finance is a key differentiator, especially in terms of generating greater investment insights. They are used by companies & professionals for risk assessment, fraud detection & forecasting trends in financial markets.
To get more details regarding BIG Data & Hadoop, please visit - www.SkillSpeed.com
Although implementing a registry style is a very straight forward and simplest of all but the magic lies in process and Stewardship that maps and assure accuracy of every single map on going basis.
Accelerate Digital Transformation with Data Virtualization in Banking, Financ...Denodo
Watch full webinar here: https://bit.ly/38uCCUB
Banking, Financial Services and Insurance (BFSI) organizations are globally accelerating their digital journey, making rapid strides with their digitization efforts, and adding key capabilities to adapt and innovate in the new normal.
Many companies find digital transformation challenging as they rely on established systems that are often not only poorly integrated, but also highly resistant to modernization without downtime. Hear how the BFSI industry is leveraging data virtualization that facilitates digital transformation via a modern data integration / data delivery approach to gain greater agility, flexibility, and efficiency.
In this joint live webinar session from Denodo and Wipro, you will learn:
- Industry key trends and challenges driving the digital transformation mandate and platform modernization initiatives
- Key concepts of Data Virtualization, and how it can enable BFSI customers to develop critical capabilities for real-time / near real-time data integration
- Success Stories on organizations who already use data virtualization to differentiate themselves from the competition
- Wipro’s role in helping enterprises define the business case, end-to-end services and operating model for the successful data virtualization implementations
Schedule a Discovery Session to learn more about Wipro and Denodo joint solutions for Banking, Financial Services, and Insurance.
How To Pick The Best Analytics Tools: Product Analytics Landscape
Here, we’ll talk about assessment criteria, key features, and greater for deciding on systems and gear that match your enterprise app development desires.
Choosing the right solution for your data
Because massive facts apply to the sort of huge spectrum of use app development instances, packages, and industries, it’s difficult to nail down a definitive listing of choice criteria.
Types of data analytics tools & key features
What is the gear used for massive facts analytics? Data analytics tools gear constitute a huge category, though they have a tendency to fall into some key groups.
Customer data platforms
Customer data platforms like customer relationship management platforms (CRM) seize purchaser facts that may be used to enhance strategies or promote products. However, CDPs take matters to the following level.
Core capabilities:
• 360-diploma view of the purchaser.
• Connect more than one fact source.
• Unifies purchaser facts throughout all linked structures.
• Improve concentrated on for advertising campaigns.
Business intelligence (BI) tools
Today’s business intelligence (BI) assists companies to see iOS app development and apprehend facts. According to gartner, BI gear span 3 major categories. Online analytical processing, or OLAP, permits fact discovery, ad-hoc reporting, simulation fashions, overall performance control, and different complicated evaluation abilities. There’s additionally statistics transport–which serves up insights within the shape of visualizations, reports, and dashboards. And finally, BI integration–which offers metadata control and imparting app developers surroundings to assist your method.
Core capabilities:
• Data visualization.
• Predictive modeling.
• Data mining.
• Forecasting.
Customer analytics tools
Customer analytics is designed to control the overall analytics technique from guidance to perception generation. In maximum instances, purchaser analytics systems include web development pre-built facts fashions for forecasting, propensity to buy, and numerous statistical evaluation strategies to apprehend purchaser conduct and optimize products, offerings, and reports.
Core capabilities:
• Granular segmentation.
• Customer satisfaction Insights.
• Statistical modeling.
• Acquisition, retention, & churn metrics.
Digital experience platforms
Digital experience platforms is a new kind of enterprise-grade software development designed to optimize the purchaser revel in at each touchpoint. While DXPs overlap with purchasers revel in control systems, DXPs cognizance greater on streamlining strategies, coordinating and personalizing content material to customers throughout an extensive variety of channels which include the Internet of Things (IoT), virtual assistants, VR reports, and greater.
Core capabilities:
• API-first structure.
• Multi-touchpoint control.
• Dynamic templates for automating personalization.
• Content control and transport.
Maximize ROI of Insurance Digital Transformation Initiatives with Proven Data...Precisely
Many insurance carriers are transforming the way they do business by deploying new software technologies, migrating data and services to the cloud, and leveraging artificial intelligence (AI) to speed decision-making. Data is at the heart of all these initiatives, and it has a direct impact on success or failure. When that data is integrated into upstream or downstream processes, it can also have a broader impact on the operational, analytical, and compliance needs of the organization. The traditional, and often ad-hoc, tools and processes that organizations employ to support data quality, data integrity, transaction reconciliation, and exception management are often inadequate. They do not provide the speed, technical agility, and intelligence demanded by digital transformation initiatives.
Join us to explore proven methods of how insurance carriers are maximizing ROI and minimizing the time-to-value of digital transformation initiatives by:
• Aligning data governance with organizational and project objectives to reduce implementation effort and duration
• Leveraging automated controls for data quality, including balance and reconciliation of data in motion to avoid operational disruptions and maintain regulatory compliance
• Increasing efficiency and capability through centralized data integrity solution
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
How 360 Degree Data Integration Enables the Customer-centric Business
1. How 360 Degree Data Integration
Enables the Customer-Centric Business
Speakers:
Adnan Sami Khan – Manager, Product Marketing
Jay Mishra - COO
2. In 2020 – The Customer is King
• 67% of buyers cite a bad customer experience as the reason for switching to another
business. (Esteban Kolsky)
• 60% increase in profitability for customer-centric businesses compared to their product-centric
competitors (Deloitt/Touche)
• 1 point increase in CX investment by mass-market auto manufacturers lead to more than $1
billion in additional revenue (Forrester)
• 1,000,000,000 dollar-a-year-companies who invest in customer experience will earn at least
$700 million within three years
(Temkin Group)
• 9 times more likely to integrate data from multiple sources in order to improve customer
interaction across sales and marketing channels when customer-centricity is a driving objective.
(Pointillist)
3. For Your Reference
• Visit Astera.com/webinars for a complete replay of today’s discussion
• Type your questions into the chat bar, we will address as many a possible at the
end of the webinar.
4. Technology Alone Will Not Create
Customer-Centricity
• Digital transformation isn’t a choice it’s an inevitability. Yet, only 22% of businesses succeed in creating value from their
digital transformations.
• Most organizations only focus on the first step in the process which is investing in new hardware and software.
• However, innovation at this stage is still largely siloed specific functions i.e. a new CRM improves consolidation and
reporting in marketing, but these insights aren’t used to benefit other departments.
• To achieve a true transformation, an organization must broaden its horizons and develop a more holistic approach to their
digital assets.
5. Enter The 360 Degree View
In a 360 Degree Data Architecture
you should be able to extract data
quickly with minimal oversight.
Little to no lag time
between receipt of new
entries in source data and
updates/corrections in
destination system
Made up of cleansed, validated,
merged and aggregated data
Data is brought in
from internal and
external sources
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6. 360 View? Where’s the Value?
• Removes duplicated and contradictory data, so that a single source of truth can be created from
disparate sources.
• Time and touchpoint-sensitive
• Incoming data is updated dynamically so 360 view is always current as possible
• External sources provide context and history that enriches internal datasets
• A 360-degree infrastructure is designed for enterprise-wide accessibility. The goal is to allow
workforces must to derive insights from data based on their functional concerns.
7. The Challenges of Manual Implementation
Each siloed system will
house data in a unique
format and layout
A data steward will need to
be appointed to oversee
transfer of data
Processes will need to be
put into place to ensure
updates and changes to
sources systems are
transferred to the 360 view
as quickly as possible
Inconsistencies in how
source documents are
formatted and presented
The timeliness of
data may differ from
system to system
which will hamper
the accuracy of the
360 view
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8. Customer 360 in Auto Insurance - Background
• Companies such as Geico and AllState are leading the charge for customer-centricity
• 2nd and 4th largest market share in the auto insurance industry respectively.
• Differentiation through data-driven marketing, self-service sales enablement,
and highly personalized product offerings
9. How the 360 View Drives Innovation in
Auto-Insurance
Provides a wealth of new
datapoints for
underwriters.
Improves marketing
effectiveness as data from
online and offline touchpoints is
collected i.e social media, call
logs, CRM data
From sales perspective helps
identify opportunities for
upselling and cross-selling.
Predict out customers that are
likely to switch.
Improves fraud detection through
integration of external sources which
can be used to identify high-risk
claimants.
Enables integration of data from unstructured
sources such as telematics
10. Building a 360-Degree Solution with
Astera Centerprise
40+ in-built connectors
allow extraction from a
variety of sources
including APIs,
mainframes, RDBMS,
and cloud data
warehouses
Job scheduling features
automate extraction from
disparate data sources,
and facilitate dynamic
updates in Guardrive’s
360 view.
Smart transformations
allow for input data to be
matched, validated, and
aggregated based on pre-
set
parameters.
Multiple
dataflows can
be synchronized to run
concurrently through
workflow features.
Data pipeline can feed
into modern reporting
and analytics platforms
such as PowerBI.
Allowing
real-time data-driven
decision making.
11. Introducing Guardrive
• Nationally established auto insurance provider
• Serving up to 4 million customers across the United States
• Traditionally relied on remote brokers and agent for sales and support. Traditional media for marketing.
• Primarily rely on structured internal data for their underwriting i.e claims histories, customer profiles,
and incident details
• They are starting to lose market share in coveted 18-36 demographic.
• Smaller more agile competitors have launched price-sensitive competing products that leverage
customer data to provide tailored offerings based on customer’s details.
• Competitors also have a strong online presence on social media and mobile apps which allows them to
reach customers in ways Guardrive can’t
12. The Problem
• Invested millions in frontend applications and made increasing forays into the digital sphere in an effort to
catch up with newer buyers.
• Despite upgrades, Guardrive still relies on creaking legacy architecture made up of mainframe systems
that are designed to handle large volumes of transactional data but aren’t suited to reporting or analyses
• These systems use outdated programming languages like COBOL and are maintained by a dwindling pool
of specialist resources.
• Guardrive has created accessibility to these systems through a patchwork of frontend applications. Each
application is function-specific and cannot communicate with software from other departments.
• In many cases, users have to manually update data from legacy architecture to frontend applications in
order to have up-to-date information available for functions such as marketing, underwriting,
• Add to this, there’s no possibility of integrating external data into Guardrive’s current data architecture as
mainframe systems are simply not flexible enough to integrate with these sources. So underwriters,
marketers, salespeople are limited to a very narrow view of data to make their decisions.
• Rip-and-replace would require a substantial investment, take at least half a decade, and have no
guarantee of success.
13. The Outcome
Dedicated resources are
not required for COBOL
programming.
Guardrive’s data
architecture is now
scalable and can
accommodate new
sources with ease.
No longer reliant
on manual entry to
transfer data
from mainframe
to endpoint applications.
Underwriters have data
at hand to create more
sensitive pricing policies
Guardrive can now
undertake their digital
transformation on their
own terms
Real-time fraud detection
capabilities
Guardrive can create
tailored marketing
campaigns for segments
based on their value.
High payouts and
unattractive premium
policies can also be
minimized wherever
possible
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